column

100%

✓ Published0🌍 Public

Last edited Nov 20, 2022

Created on Nov 20, 2022

This example displays a column chart for a selected musical attribute, such as valence or danceability, showing the distribution of song counts across binned ranges. The chart is rendered using the Google Charts library with the `corechart` package and the `ColumnChart` class. The data is defined in a JavaScript object called `codata`, containing arrays for each attribute, and the visualization updates based on the `choice_coattr` variable. The chart is embedded in an HTML page that loads the Google Charts loader script.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

music2

This interactive bar chart explores a dataset of music tracks, showing the average popularity of songs grouped by a selected attribute. Users can switch the grouping variable via dropdown menus, and a scrollable overview bar allows panning through many categories. Built with D3.js and Vue, the visualization uses `scaleBand` and `scaleLinear` for positioning and `axisBottom`/`axisLeft` for axes, with drag handling to update the visible range. Data is loaded from a CSV file.

Aa15923647

66% match

Loading thumbnail…

Untitled

This example displays two Google Charts visualizations side by side: a pie chart and a bar chart, both titled “How Much Pizza I Ate Last Night.” The charts present the same categorical dataset of pizza toppings with corresponding slice counts. The code uses the Google Charts loader and the `corechart` package to create a `DataTable`, then instantiates a `google.visualization.ScatterChart` (mislabeled as pie) and a `google.visualization.BarChart`. Each chart is drawn into a separate `div` element with predefined width and height options.

Aavesh1998

65% match

Loading thumbnail…

Data

This example presents an interactive scatter plot of Spotify song attributes, allowing users to compare musical features such as Tempo, Energy, and Danceability across tracks from 2010 to 2020. A year slider filters the dataset, while dropdown menus let users select which attributes to plot on the x- and y-axes and which categorical field, either Top Genre or Artist, to use for color encoding. The visualization is built with React, using D3 v6 and v5 APIs including `scaleLinear` and `scaleOrdinal` for axes and color, alongside ReactDropdown for menu selection, and it renders SVG circles with native tooltips. Data is loaded via `d3.csv` from a GitHub gist containing the yearly music trend dataset.

Nnikki81140

65% match

Loading thumbnail…

Untitled

This example presents two scatter plots, one large and one small, using Google Charts. Both plots display six data points with x and y coordinates, rendered as an interactive scatter chart titled "Scatter Plot." The code loads the Google Charts library through a script tag and initializes the chart with the `google.visualization.arrayToDataTable` and `ScatterChart` APIs. A third scatter plot uses CanvasJS to visualize income versus savings data for 50 individuals, with custom axes and triangle markers.

Aavesh1998

65% match

Loading thumbnail…

Table

This visualization is an interactive dashboard that displays a single chart at a time, selected from a drop-down menu of eleven different chart types, including bar charts, pie charts, area charts, scatterplots, and a spectrogram. The dashboard generates charts using D3 v5, rendering with SVG and canvas, and supports an animated spectrogram that analyzes audio data. It uses D3 scales and axes, including `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisBottom`, to map data from sample CSV files.

RRostyslav

64% match

Loading thumbnail…

310553047-HW1

This interactive scatter plot visualizes a Spotify dataset, allowing users to compare any two musical attributes by selecting them from dropdown menus for the x- and y-axes. The visualization shows how the chosen variables correlate across tracks, with each data point represented as a semi-transparent blue circle. The code uses D3 v5’s `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` APIs to load data, render the SVG, and update the chart dynamically. Axis labels and gridlines are included, and the plot refreshes whenever the user changes the selected attributes.

Yyujun12689

64% match

Loading thumbnail…

Bar Chart

This example presents a bar chart of option prices, displaying each financial instrument’s code on the y-axis and its price on the x-axis. The visualization uses React with D3 v5, parsing data from a CSV file and rendering SVG rectangles. It employs `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` to generate tick labels, all within a custom `render` function. The data source is `data.csv`, containing option codes and prices, which are multiplied by 100 during preprocessing.

Xxieyunli111

63% match

Loading thumbnail…

Bar Chart

This bar chart example demonstrates how to load and display CSV data using React and D3 v7. The visualization shows summary statistics about the dataset, including file size in kilobytes, row count, and column count, rendered as text output. The code uses D3’s `csv` function to fetch data from a remote GitHub gist containing CSS named colors, and React’s `useState` and `useEffect` hooks manage the asynchronous data loading and state updates.

Rrammy81

63% match